Computes classification accuracy and consistency under Item Response Theory

Documentation for package ‘cacIRT’ version 1.0

cacIRT-package	Classification accuracy and consistency under Item Response Theory
cacIRT	Classification accuracy and consistency under Item Response Theory
class.Lee	Computes classification accuracy and consistency with Lee's approach.
class.Rud	Computes classification accuracy and consistency with Rudner's approach.
iif	Item information function
irf	Item response function
Lee.rec.D	Lee's accuracy with D method
Lee.rec.P	Lee's approach with the P method
MLE	Maximum likelihood estimates of ability
normal.qu	Normal quadrature points and weights
recursive.raw	Recursive computation of conditional total score
Rud.D	Rudner's approach with D method
Rud.P	Rudner's approach with the P methods
SEM	Standard error of measurement of MLE estimates of ability
sim	Simulate response data matrix from 3PL model
tif	Test information function
TOtable.F	Classification table for computing True accuracy or consistency